Block 1 - Simple Memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
How it works This template is a complete, hands on tutorial that lets you build and interact with your very first AI Agent. Think of an AI Agent as a standard AI chatbot with superpowers . The agen...
@n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.httprequesttool, n8n-nodes-base.datetimetool, @n8n/n8n-nodes-langchain.toolwikipedia
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lucas Peyrin.
Original n8n.io sourceThis template is a complete, hands-on tutorial that lets you build and interact with your very first AI Agent.
Think of an AI Agent as a standard AI chatbot with superpowers. The agent doesn't just talk; it can use tools to perform actions and find information in real-time. This workflow is designed to show you exactly how that works.
When you send a message, the agent's brain analyzes it, picks the right tool for the job, executes it, and then formulates a helpful response based on the tool's output.
Setup time: ~3 minutes
This template is nearly ready to go out of the box. You just need to provide the AI's "brain."
Your First AI Agent node. This is where the agent gets its abilities! You can add, remove, or modify these to create your own custom agent.Example Chat Window node (you can copy it from the node's panel).This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | 🤖 Build an interactive AI agent with chat interface and multiple tools |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Personal Productivity, AI Chatbot |
| Author | Lucas Peyrin |
| Published | 09 Jul 2025 |
Use the JSON export at /data/workflows/5819/5819.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it works This template is a complete, hands on tutorial that lets you build and interact with your very first AI Agent. Think of an AI Agent as a standard AI chatbot with superpowers . The agen...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.